Semantic Context Layer
Business dictionaries mapped to entity relationships, enriching model context.
Bedrock Trust Pack
From AI Pilots to Enterprise Impact, With Trust Built In.
TrustHouse pairs Amazon Bedrock's foundation models and agent tooling with real-time context, trust controls, and decision lineage, so every AI application knows your business, acts within policy, and can explain why.
Key Capabilities That Complement AWS Bedrock.
Continuous Data Quality
Scores every dataset in real time for completeness, accuracy, reliability.
Unified Agent Registry
Discovers and maintains a system of record for all agentic applications.
AI Quality Assurance
Continuously evaluates data for consistency and drift, surfacing a single trustworthy source.
Access Control
Fine-grained access at user, group, and role level via MCP-integrated identity.
AgentOps
Secure deployment, session management, vulnerability assessment, and policy-enforced protocols across environments.
Risk Limiting
Caps token consumption per agent or team.
Consumption Tracking
Enterprise visibility into token usage.
Cost Intelligence
Spend breakdown per agent, per model.
Multi-Cloud Environment
One policy and access layer across regulated and direct AI endpoints.
On-Prem Systems
Dedicated connections and gateways for on-prem systems.
Business Process Compliance
Configure against business policies to enforce best-in-class behaviors.
Trusted AI Outcomes
Less Risk
Greater Visibility
Lower Cost
Faster Time to Value
Defensible AI
Go Beyond AI. Build Business Trust.
TrustHouse + Amazon Bedrock: a more complete, more trusted enterprise AI, together.